The relationship between changes in the korean fertility rate and policies to encourage fertility

BMC Public Health. 2022 Dec 8;22(1):2298. doi: 10.1186/s12889-022-14722-4.

Abstract

Background: Korean government has established various policies to counter the low fertility rate since the mid-2000s, but it still has the lowest fertility rate among OECD member countries. This study investigated the relationship between changes in the Korean fertility rate and policies to encourage fertility.

Methods: This study utilized data of the total fertility rate of 250 local governments between 2014 and 2018, and a casebook of local government birth promotion policies. The dependent variable was fertility rate, and the independent variable was fertility promotion policy. Using SPSS 25.0 and M-plus 8.0 programs, descriptive statistical analysis and latent growth modeling were conducted. An unconditional quadratic function change model was selected as a final model of this study.

Results: The average of the initial fertility rate and the linear rate of change in the Korean fertility rate, and the rate of change of the quadratic function were all statistically significant, meaning that the fertility rate of decline increases over time. Also, the linear rate of change and the quadratic function change rate were significant, showing significant differences in the initial level and rate of change of the fertility rate between local governments. Among fertility policies, only the in-kind policy had a significant effect on the initial value of the fertility rate, meaning that the higher the number of in-kind policies, the higher the fertility rate.

Conclusion: This study is crucial as it examined the changes in the fertility rate of Korean local governments as well as the policy factors affecting the fertility rate at a quantitative level.

Keywords: Decline of fertility rate; Fertility policy; Fertility rate; Korean fertility rate; Latent growth model.

MeSH terms

  • Birth Rate*
  • Demography
  • Developing Countries
  • Economics
  • Fertility
  • Humans
  • Population Dynamics
  • Public Policy*